I am performing clustering of document using CUES algorithm. Based on the cluster distance, two clusters have to merged. When two clusters Ci and Cj are merged then, Ci is updated with Ci U Cj and Cj ...

I need to use Agglomerative Hierarchical Clustering in OpenCV. When I searched the documentation, I found the following function.
But it uses hierarchical k-means. k-means is a different technique. In ...

I have got a master master my sql replication in place . There are 2 machines which are there right now . One of them has been configured as primary database and second one as failover one .
I have ...

I'm currently doing a research on Document Clustering.
I want to run Bisecting KMeans in Java on my data set(Text Documents).
Can anyone provide the code for the same.
The final runs is going to be ...

I've been studying some data sets using hierarchical clustering. In these data sets, there are a certain number of variables that I want to use to cluster data, and then there are other classification ...

I have a dissimilarity matrix and I want to run hierarchical clustering using that matrix as the only input as I don't know the source data itself. For background, I aim at clustering elements using ...

I have a linkage matrix of about size 10,000 that I've plotted using scipy.cluster.hierarchical. The default rendering is poor -- as expected, given the size of the input -- because the bins are way ...

I am using the seaborn clustermap to create clusters and visually it works great (this example produces very similar results).
However I am having trouble figuring out how to programmatically extract ...

I am using scipy.cluster.hierarchy.linkage as a clustering algorithm and pass the result linkage matrix to scipy.cluster.hierarchy.fcluster, to get the flattened clusters, for various thresholds.
I ...

My question:
I have searched through available Ruby gems to find one that performs k-means clustering. I've found quite a few: kmeans, kmeans-clustering, reddavis-k_means and k_means_pp. My problem ...

I have a dataset of size >35K in size / >50 dimensions. Used BIRCH algorithm for clustering. While testing, the data points with which cluster formed is not matching i.e., The data point shows closer ...

I am not able to understand how SciPy Hierarchical Clustering computes distance between original points or clusters in dendogram.
import scipy.cluster.hierarchy as hclus
import numpy
import cPickle
...

I have lot of data points which are clustered in the following way using Scipy Hierarchical Clustering. Let's say I want to prune the dendogram at level '1500'? How to do that? (I've tried using 'p' ...

I am trying to use AgglomerativeClustering from scikit-learn to cluster points on a place. Points are defined by coordinates (X,Y) stored in _XY.
Cluster are limited to a few neighbours through the ...

I know the basics of how to use FactoMineR for clustering, but I run into the problem that I only need to cluster based on the first two (and only those two) principal components and I am not sure if ...

I have a NxM matri with values that range from 0 to 20. I easily get an heatmap by using Matplotlib and pcolor. Now I'd like to apply a hierarchical clustering and a dendogram using scipy. I'd like to ...

Initially I had a structure matrix (Square) with entities 0 and 1 only, where 1 at (i,j) means that an ith element is directly depend on jth element. All diagonal elements had values equal to zero. ...

So I have hierarchical information stored within a pandas DataFrame and I would like to construct and visualize a hierarchical tree based on this information.
For example, a row in my DataFrame has ...

I have a cluster plot by R while I want to optimize the "elbow criterion" of clustering with a wss plot, but I do not know how to draw a wss plot for a giving cluster, anyone would help me?
Here is ...

I know what is chinese restaurant process(CRP) and dirichlet process mixture model(DPMM). I wanted to know if runnning vanilla CRP, that gives me distribution of customers over tables, is equivalent ...

I want to create a wireless network with n number of nodes and I want to define a maximum transmission range(Simulate an actual network). According to transmission range nodes connect with each other. ...